Bikash Gyawali

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 5 citations into it

Whom Bikash Gyawali trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Moses Charikar
2. Tomas Mikolov
3. Timothy C. Hoad
4. Cyril Labbé
5. Jacob Devlin
6. Iz Beltagy
7. Gurmeet Singh Manku
8. Piotr Bojanowski
9. Ilya Sutskever
10. Yukun Zhu

Who trusts Bikash Gyawali overall

1. Katherine Lee
2. Daphne Ippolito

Papers from Bikash Gyawali's perspective

Ordered by how strongly the researchers Bikash Gyawali trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings (2020) — 26 citations